2026
A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation
ICML 2026poster
Query-based universal sound separation is fundamental to intelligent auditory systems, aiming to isolate specific sources from mixtures. Despite recent advances, existing methods continue to suffer from residual interference in complex acoustic scenes. This performance limitation stems largely from …